Characterizing social networks
A new method explored by study lead author and SES/IDPS graduate student Arnab Sarker to measure homophily in large group interactions offers ins...
Second round of seed grants awarded to MIT scholars studying the impact and applications of generative AI
SDSC faculty Ashia Wilson among 16 teams of MIT scholars selected to develop research papers analyzing the impact of generative AI on a broad ran...
MIT-derived algorithm helps forecast the frequency of extreme weather
The new approach developed by researchers including SDSC faculty Themis Sapsis “nudges” existing climate simulations closer to future reality.
Dealing with the limitations of our noisy world
SDSC faculty Tamara Broderick uses statistical approaches to understand and quantify the uncertainty that can affect study results.
New insights on political polarization
Researchers including SDSC faculty Teppei Yamamoto study the complexities of media preferences and partisan divides.
